Industries · Automotive Components

AI for the OEM-driven floor.

Built for the PPAPs, the in-line rejects, and the customer scorecards that decide whether your next part nomination is yours.

What we recognise

Every new part nomination needs a full PPAP. Every in-line escape costs PPM points. Every customer audit pulls your quality head off the floor for a week. Bosch, Toyota, Mahindra, TVS each have their own scorecard, and the last digital initiative left you with a portal nobody opens. We’ve seen this before. We don’t start with a transformation roadmap. We start with one painful part of your floor and make it measurably better.

What we build for you

Specific systems, deployed on your floor.

Each one scoped to your factory, integrated with your existing stack, and built to survive a Tier-1 customer audit on day one.

01
PPAP package automation
What it does
Assembles full PPAP packages (PSW, DFMEA, PFMEA, control plan, MSA, capability studies) from your CMM, lab, and process data.
What changes
PPAP cycle time drops from weeks to days. Engineering time on paperwork shrinks. Customer first-time acceptance improves.
Audit trail
Every value is traceable to its source. Every revision versioned. Bosch, Toyota, Mahindra can follow the lineage.
02
In-line vision inspection
What it does
Cameras and AI catch surface defects, dimensional issues, and assembly errors at the cell, not at final QC.
What changes
PPM rates drop. Customer complaints decline. Internal scrap is caught earlier in the line.
Audit trail
Every rejection logged with image, confidence score, and reason. Customer can audit the rejection trail.
03
OEE and bottleneck intelligence
What it does
Live OEE tracking with bottleneck detection. AI surfaces which line, which shift, which machine is dragging the plant down.
What changes
Shift supervisors see the bottleneck in real time. Plant heads see the trend over weeks. Decisions move faster.
Audit trail
Every downtime event tagged with its root cause. Auditable history for customer scorecard reviews.
04
Predictive maintenance
What it does
Watches spindle vibration, bearing wear, press tonnage, and motor current for early failure signatures.
What changes
Failures are caught hours or days before they happen. Unplanned downtime drops. Customer deliveries hold.
Audit trail
Every alert and maintenance action logged. Maintenance team has the trail for the next customer audit.
What this looks like in practice

A few examples from the work.

Illustrative scenarios drawn from the kinds of factories we know. Specific to automotive, sized like your own shop.

PPAP
A Tier-1 supplier cuts PPAP cycle from six weeks to ten days.
Engineering hours recovered. Customer first-time acceptance up. New nominations no longer bottleneck on paperwork.
4× faster
PPAP cycle time
Illustrative
QUALITY
A stamping line cuts customer-side PPM by more than half across a quarter.
Defects caught in-line. Customer complaints dropped. The plant moved up a band on the customer scorecard.
-58% PPM
Customer-side rejects
Illustrative
UPTIME
A press-shop predicts a critical spindle failure twelve hours before it would have stopped the line.
Maintenance scheduled. The shift was completed. The customer delivery held.
12h warning
Before failure
Illustrative
Why we fit aerospace

Built for IATF 16949 and customer scorecards.

01
IATF-survivable by design
Every output is versioned. Every decision logged. Every model traceable and explainable to a Bosch, Toyota, Mahindra, or TVS auditor.
02
Real-time, on the line
PPAP and audit work runs in the back office. Vision, OEE, and predictive maintenance run on the line. Edge-deployment ready.
03
Scorecard-aware
We know the difference between a Bosch SQ scorecard and a Toyota TSE rating. The systems we build move the numbers your customer actually measures.
Built around your existing stack

No replacement required.

We’ve worked with the kinds of tools aerospace shops actually run. We integrate, you keep working.

ERP & MES
SAP
Oracle
Tally
Microsoft Dynamics
Plex
Quality & CMM
PC-DMIS
Calypso
PolyWorks
QMS
Controllers & PLC
Fanuc
Siemens
Allen-Bradley
Mitsubishi
Omron
Frequently asked

In this sector.

Will the system survive an IATF or customer audit?
Yes. We design for IATF 16949 and Tier-1 customer audits from day one. Decisions are logged, models are versioned, and the customer auditor can follow the lineage from a PPM number on a scorecard back to the raw measurement that produced it.
Will the in-line vision keep up with our cycle time?
For most automotive cells, yes. Modern edge inference can clear parts in under a hundred milliseconds. We will measure your cycle time and tact time in stage one and tell you honestly if vision can keep up. If it cannot, we will say so.
How long before we see something working?
It depends on the cell, the data quality, and the use case. We don’t promise specific timelines on this page because every factory is different. What we do commit to is a written diagnosis after the first visit, with realistic estimates for your specific situation.
Do you replace our existing ERP or QMS?
No. We integrate with what you have. Replacing a working ERP or QMS mid-program is exactly the kind of risk an automotive supplier should not take. We build on top of your existing stack, not around it.
BASED IN
Bengaluru, India
Local presence in the same industrial cluster as your factory.
FOUNDED BY
An engineer who can explain it
A decade and more in AI engineering, plus the experience of teaching it to others.
CONFIDENTIALITY
First, not optional
NDA-friendly. Drawings, models, and data stay where they belong.
Next step

Walk us through your factory.

We’ll tell you where AI helps, where it doesn’t, and what to fix first. In writing.

Talk to us →